Relevant bibliographies by topics / Run-Time bias-Correction

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Run-Time bias-Correction'

Author: Grafiati
Published: 7 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Run-Time bias-Correction"

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Okui, Ryo. "Asymptotically Unbiased Estimation of Autocovariances and Autocorrelations with Panel Data in the Presence of Individual and Time Effects." Journal of Time Series Econometrics 6, no. 2 (2014): 129–81. http://dx.doi.org/10.1515/jtse-2013-0017.

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AbstractThis article proposes asymptotically unbiased estimators of autocovariances and autocorrelations for panel data with both individual and time effects. We show that the conventional autocovariance estimators suffer from the bias caused by the elimination of individual and time effects. The bias related to individual effects is proportional to the long-run variance, and it related to time effects is proportional to the value of the estimated autocovariance. For the conventional autocorrelation estimators, the elimination of time effects does not cause a bias while the elimination of indi
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Yan, Changxiang, and Jiang Zhu. "A Simple Bias Correction Scheme in Ocean Data Assimilation." Journal of Marine Science and Engineering 11, no. 1 (2023): 205. http://dx.doi.org/10.3390/jmse11010205.

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The mode bias is present and time-dependent due to imperfect configurations. Data assimilation is the process by which observations are used to correct the model forecast, and is affected by the bias. How to reduce the bias is an important issue. This paper investigates the roles of a simple bias correction scheme in ocean data assimilation. In this scheme, the misfits between modeled and monthly temperature and salinity with interannual variability from the Met Office Hadley Centre subsurface temperature and salinity data set (EN4.2.2) are used for the innovations in assimilation via the Ense
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von Auer, Ludwig, and Alena Shumskikh. "Substitution Bias in the Measurement of Import and Export Price Indices: Causes and Correction." Journal of Official Statistics 38, no. 1 (2022): 107–26. http://dx.doi.org/10.2478/jos-2022-0006.

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Abstract The import and export price indices of an economy are usually compiled by some Laspeyres type index. It is well known that such an index formula is prone to substitution bias. Therefore, also the terms of trade (ratio of export and import price index) are likely to be distorted. The underlying substitution bias accumulates over time. The present article introduces a simple and transparent retroactive correction approach that addresses the source of the substitution bias and produces meaningful long-run time series of import and export price levels and, therefore, of the terms of trade
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Osuch, M., R. J. Romanowicz, D. Lawrence, and W. K. Wong. "Assessment of the influence of bias correction on meteorological drought projections for Poland." Hydrology and Earth System Sciences Discussions 12, no. 10 (2015): 10331–77. http://dx.doi.org/10.5194/hessd-12-10331-2015.

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Abstract. Possible future climate change effects on drought severity in Poland are estimated for six ENSEMBLE climate projections using the Standard Precipitation Index (SPI). The time series of precipitation represent six different RCM/GCM run under the A1B SRES scenario for the period 1971–2099. Monthly precipitation values were used to estimate the Standard Precipitation Index (SPI) for multiple time scales (1, 3, 6, 12 and 24 months) for a spatial resolution of 25 km × 25 km for the whole country. Trends in SPI were analysed using a Mann–Kendall test with Sen's slope estimator for each 25
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Rogers, Bruce, David Giles, Nick Draper, Laurent Mourot, and Thomas Gronwald. "Influence of Artefact Correction and Recording Device Type on the Practical Application of a Non-Linear Heart Rate Variability Biomarker for Aerobic Threshold Determination." Sensors 21, no. 3 (2021): 821. http://dx.doi.org/10.3390/s21030821.

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Recent study points to the value of a non-linear heart rate variability (HRV) biomarker using detrended fluctuation analysis (DFA a1) for aerobic threshold determination (HRVT). Significance of recording artefact, correction methods and device bias on DFA a1 during exercise and HRVT is unclear. Gas exchange and HRV data were obtained from 17 participants during an incremental treadmill run using both ECG and Polar H7 as recording devices. First, artefacts were randomly placed in the ECG time series to equal 1, 3 and 6% missed beats with correction by Kubios software’s automatic and medium thre
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Rocha, Fabiana. "Correlação poupança-investimento: o que é possível dizer sobre o modelo de correção de erros a partir dos dados brasileiros." Economia Aplicada 7, no. 1 (2003): 5–21. https://doi.org/10.11606/1413-8050/ea220071.

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The purpose of this paper is to determine if the error correction model is superior to the other time series tests (cointegration between saving and investment and stationarity of the current account) which focused the long run relationship in evaluating the degree of capital mobility, as suggested by Jansen (1996). Besides it seeks to determine which kind of bias results from the estimates of the short run correlation, with variables in levels or first differences. Using Brazilian data for the period 1960-1996 as example all the tests point in the same direction, that is, capital mobility. Th
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Phan Van, Tan, Hiep Van Nguyen, Long Trinh Tuan, et al. "Seasonal Prediction of Surface Air Temperature across Vietnam Using the Regional Climate Model Version 4.2 (RegCM4.2)." Advances in Meteorology 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/245104.

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To investigate the ability of dynamical seasonal climate predictions for Vietnam, the RegCM4.2 is employed to perform seasonal prediction of 2 m mean (T2m), maximum (Tx), and minimum (Tn) air temperature for the period from January 2012 to November 2013 by downscaling the NCEP Climate Forecast System (CFS) data. For model bias correction, the model and observed climatology is constructed using the CFS reanalysis and observed temperatures over Vietnam for the period 1980–2010, respectively. The RegCM4.2 forecast is run four times per month from the current month up to the next six months. A mod
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Krinner, Gerhard, Julien Beaumet, Vincent Favier, Michel Déqué, and Claire Brutel-Vuilmet. "Empirical Run-Time Bias Correction for Antarctic Regional Climate Projections With a Stretched-Grid AGCM." Journal of Advances in Modeling Earth Systems 11, no. 1 (2019): 64–82. http://dx.doi.org/10.1029/2018ms001438.

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Gupta, Abhimanyu, and Myung Hwan Seo. "Robust Inference on Infinite and Growing Dimensional Time‐Series Regression." Econometrica 91, no. 4 (2023): 1333–61. http://dx.doi.org/10.3982/ecta17918.

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We develop a class of tests for time‐series models such as multiple regression with growing dimension, infinite‐order autoregression, and nonparametric sieve regression. Examples include the Chow test and general linear restriction tests of growing rank p. Employing such increasing p asymptotics, we introduce a new scale correction to conventional test statistics, which accounts for a high‐order long‐run variance (HLV), which emerges as p grows with sample size. We also propose a bias correction via a null‐imposed bootstrap to alleviate finite‐sample bias without sacrificing power unduly. A si
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Wei, Linyong, Shanhu Jiang, Liliang Ren, et al. "Bias correction of GPM IMERG Early Run daily precipitation product using near real-time CPC global measurements." Atmospheric Research 279 (December 2022): 106403. http://dx.doi.org/10.1016/j.atmosres.2022.106403.

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Dissertations / Theses on the topic "Run-Time bias-Correction"

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Balhane, Saloua. "Improving the dynamical downscaling over Morocco in the context of climate change." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAX105.

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Le Maroc est l'une des régions les plus vulnérables au changement climatique. Il se caractérise par des interactions complexes entre diverses caractéristiques géographiques, notamment l'océan Atlantique, la mer Méditerranée, les montagnes du Haut Atlas et le Sahara. Il est essentiel de comprendre la variabilité spatio-temporelle du climat dans cette région pour une meilleure gestion des ressources. Les modèles climatiques globaux jouent un rôle important dans ce contexte, car ce sont les seuls modèles à prendre en compte tous les réservoirs d'eau et d'énergie, y compris les réservoirs à mouvem
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Conference papers on the topic "Run-Time bias-Correction"

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Ejdfors, Kristian, Erik Falkenberg, Siril Okkenhaug, and Magnus Johannesen. "Analysis Guidance for Thruster Assisted Mooring." In Offshore Technology Conference. OTC, 2023. http://dx.doi.org/10.4043/32516-ms.

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Abstract DNV initiated the TAM JIP in 2019 motivated by i) that the industry has experienced mooring line failures where non-optimal operation of thruster assisted mooring systems is believed to be a contributing factor, and ii) that last generation semi-submersible drilling units rely more heavily on their thruster systems. Through the TAM JIP, DNV has studied how thruster assisted mooring (TAM) systems should be safely operated, and how to adjust the design requirements accordingly. It is vital that the design analyses reflect how the TAM system will be operated offshore - this has not alway
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You might also be interested in the extended bibliographies on the topic 'Run-Time bias-Correction' for particular source types:
Journal articles
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